1# Library to Find Best eBook for Read
Author : Wacław Gawędzki
Release : 2016
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Decomposition of Mechanical Vibration Signals by : Wacław Gawędzki
Download or read book Decomposition of Mechanical Vibration Signals written by Wacław Gawędzki. This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michael Feldman
Release : 2011-03-08
Genre : Science
Kind : eBook
Book Rating : 526/5 ( reviews)
Book Synopsis Hilbert Transform Applications in Mechanical Vibration by : Michael Feldman
Download or read book Hilbert Transform Applications in Mechanical Vibration written by Michael Feldman. This book was released on 2011-03-08. Available in PDF, EPUB and Kindle. Book excerpt: Hilbert Transform Applications in Mechanical Vibration addresses recent advances in theory and applications of the Hilbert transform to vibration engineering, enabling laboratory dynamic tests to be performed more rapidly and accurately. The author integrates important pioneering developments in signal processing and mathematical models with typical properties of mechanical dynamic constructions such as resonance, nonlinear stiffness and damping. A comprehensive account of the main applications is provided, covering dynamic testing and the extraction of the modal parameters of nonlinear vibration systems, including the initial elastic and damping force characteristics. This unique merger of technical properties and digital signal processing allows the instant solution of a variety of engineering problems and the in-depth exploration of the physics of vibration by analysis, identification and simulation. This book will appeal to both professionals and students working in mechanical, aerospace, and civil engineering, as well as naval architecture, biomechanics, robotics, and mechatronics. Hilbert Transform Applications in Mechanical Vibration employs modern applications of the Hilbert transform time domain methods including: The Hilbert Vibration Decomposition method for adaptive separation of a multi-component non-stationary vibration signal into simple quasi-harmonic components; this method is characterized by high frequency resolution, which provides a comprehensive account of the case of amplitude and frequency modulated vibration analysis. The FREEVIB and FORCEVIB main applications, covering dynamic testing and extraction of the modal parameters of nonlinear vibration systems including the initial elastic and damping force characteristics under free and forced vibration regimes. Identification methods contribute to efficient and accurate testing of vibration systems, avoiding effort-consuming measurement and analysis. Precise identification of nonlinear and asymmetric systems considering high frequency harmonics on the base of the congruent envelope and congruent frequency. Accompanied by a website at www.wiley.com/go/feldman, housing MATLAB®/ SIMULINK codes.
Author : Hosameldin Ahmed
Release : 2020-01-07
Genre : Technology & Engineering
Kind : eBook
Book Rating : 629/5 ( reviews)
Book Synopsis Condition Monitoring with Vibration Signals by : Hosameldin Ahmed
Download or read book Condition Monitoring with Vibration Signals written by Hosameldin Ahmed. This book was released on 2020-01-07. Available in PDF, EPUB and Kindle. Book excerpt: Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance. Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines starts by introducing readers to Vibration Analysis Techniques and Machine Condition Monitoring (MCM). It then offers readers sections covering: Rotating Machine Condition Monitoring using Learning Algorithms; Classification Algorithms; and New Fault Diagnosis Frameworks designed for MCM. Readers will learn signal processing in the time-frequency domain, methods for linear subspace learning, and the basic principles of the learning method Artificial Neural Network (ANN). They will also discover recent trends of deep learning in the field of machine condition monitoring, new feature learning frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the fundamental as well as the state-of-the-art approaches to machine condition monitoringguiding readers from the basics of rotating machines to the generation of knowledge using vibration signals Provides new methods, including machine learning and compressive sampling, which offer significant improvements in accuracy with reduced computational costs Features learning algorithms that can be used for fault diagnosis and prognosis Includes previously and recently developed dimensionality reduction techniques and classification algorithms Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines is an excellent book for research students, postgraduate students, industrial practitioners, and researchers.
Author : Wei Guo
Release : 2017
Genre : Science
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Adaptive Signal Decomposition Methods for Vibration Signals of Rotating Machinery by : Wei Guo
Download or read book Adaptive Signal Decomposition Methods for Vibration Signals of Rotating Machinery written by Wei Guo. This book was released on 2017. Available in PDF, EPUB and Kindle. Book excerpt: Vibration-based condition monitoring and fault diagnosis are becoming more common in the industry to increase machine availability and reliability. Considerable research efforts have recently been directed towards the development of adaptive signal processing methods for fault diagnosis. Two adaptive signal decomposition methods, id est the empirical mode decomposition (EMD) and the local mean decomposition (LMD), are widely used. This chapter is intended to summarize the recent developments mostly based on the authors' works. It aims to provide a valuable reference for readers on the processing and analysis of vibration signals collected from rotating machinery.
Author : Norden E Huang
Release : 2014-04-22
Genre : Mathematics
Kind : eBook
Book Rating : 25X/5 ( reviews)
Book Synopsis Hilbert-huang Transform And Its Applications (2nd Edition) by : Norden E Huang
Download or read book Hilbert-huang Transform And Its Applications (2nd Edition) written by Norden E Huang. This book was released on 2014-04-22. Available in PDF, EPUB and Kindle. Book excerpt: This book is written for scientists and engineers who use HHT (Hilbert-Huang Transform) to analyze data from nonlinear and non-stationary processes. It can be treated as a HHT user manual and a source of reference for HHT applications. The book contains the basic principle and method of HHT and various application examples, ranging from the correction of satellite orbit drifting to detection of failure of highway bridges.The thirteen chapters of the first edition are based on the presentations made at a mini-symposium at the Society for Industrial and Applied Mathematics in 2003. Some outstanding mathematical research problems regarding HHT development are discussed in the first three chapters. The three new chapters of the second edition reflect the latest HHT development, including ensemble empirical mode decomposition (EEMD) and modified EMD.The book also provides a platform for researchers to develop the HHT method further and to identify more applications.
